Tanvir Ahmed Khan
Assistant Professor · Columbia University · Columbia University
Quick answer: Tanvir Ahmed Khan is Assistant Professor at Columbia University. Tanvir Ahmed Khan shows an active PhD hiring signal as of 2026-09-11.
⭐ I have worked with an amazing group of researchers. If you are interested in working with me, please contact me at tk3070@columbia.edu.
Research interests
I build systems techniques to enable efficient data center processing. Enabling efficient data center processing is extremely challenging due to rapid growth in data and software complexity along with the ongoing slowdown in hardware performance scaling. As a consequence, micro-architectural structures (e.g., instruction and data cache, branch predictors) can no longer meet the demand of data center applications. Combining insights from computer architecture, compilers, and operating systems, I design techniques to enable near-ideal hardware structures via profile-guided optimizations. Consequently, Intel and ARM have adopted a couple of my techniques, I-SPY and DMon. My work has appeared in computer architecture and systems venues like ISCA, MICRO, ASPLOS, OSDI, PLDI, FAST, and EuroSys. My research has also received 2024 ACM SIGARCH/IEEE CS TCCA Outstanding Dissertation Award, IEEE Micro Top Picks 2023 distinction, and MICRO 2022 Best Paper Award.
Selected publications (since 2023)
[2026] NanoTag: Systems Support for Efficient Byte-Granular Overflow Detection on ARM MTE
[2026] Wax: Optimizing Data Center Applications With Stale Profile
Frequently asked questions
Is Tanvir Ahmed Khan hiring PhD students at Columbia University?
Yes. As of 2026-09-11, Tanvir Ahmed Khan's faculty page shows a PhD hiring signal: I have worked with an amazing group of researchers. If you are interested in working with me, please contact me at tk3070@columbia.edu..
What does Tanvir Ahmed Khan research?
I build systems techniques to enable efficient data center processing. Enabling efficient data center processing is extremely challenging due to rapid growth in data and software complexity along with the ongoing slowdown in hardware performance scaling. As a consequence, micro-architectural structu
Data last updated: 2026-09-11 · Source: phd-match.com faculty database.
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